Dendroclimatology

What you will learn

Section 1. Dendrochronology, dendroclimatology, dendrohydrology, dendroecology, dendroglaciology and dendroarchaeology

Section 2. Sample collection and laboratory

Section 3. Wood anatomy (IAWA)

Section 4. Measurement and stereomicroscopes

Section 5. Construction of the tree chronology

Section 6. DplR package in R, detrending, sensitivity and Eps

Section 7. Chronology Metrics

Section 8. Dendroclimatological potential of the species

Section 9. Climate reconstruction package Treeclim in R

Section 10. Skill of chronology and correlation

Section 11. Statistical climate modelling in R

Description

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Tree rings reveal effects of climate change

Rings in tree trunks offer a window into the depths of the climatic past to demonstrate how the climate of the last half century deviated far from historical norms dating back thousands of years. However, the rings in the tree trunks provide a much more complete historical picture of climatic variations. As trees age, they grow from the center outward, and each year a new circle of dead wood is created around the trunk of most trees. In that ring you can find information related to precipitation, temperature and other data for that year. Reading the weather stories these trees tell will help forecast what’s to come. “These data help build a more reliable model of climate change.” In the 1930s, A. E. Douglass, an astronomer who turned to trees to better understand the connection between sunspots and climate, founded the Tree Ring Research Laboratory at the University of Arizona, Tucson campus.


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In this course you will learn how to perform a climate reconstruction from tree rings. Statistical packages will be used to help us build the master chronology through DplR and to know the correlation of climatic factors we will use the Treeclim package in R and finally we will model our climatic reconstruction in R.

English
language

Content

Introduction

Introduction

Section 1. Dendrochronology and its relationship with other sciences

Basic concepts

Section 2. Sample collection and laboratory

Sample collection and laboratory

Section 3. Wood anatomy

Wood anatomy, vessels, sections of the three cuts of the wood and parenchyma

Section 4. Measurement and stereomicroscopes

Measurement and stereomicroscopes

Section 5. Construction of the tree chronology

You will know about DplR

Section 6. DplR package in R, detrending, sensitivity and Eps

DplR main functions

Section 7. Chronology Metrics

Tree ring chronology metrics

Section 8. Dendroclimatological potential of the species

Forest species of Latin American with dendrochronological potential

Section 9. Climate reconstruction package Treeclim in R

Climate Reconstruction by Treeclim

Section 10. Skill of chronology and correlation

The p-values โ€‹โ€‹must be <.05, r must be >.5 RE and CE must be positive DW must +

Section 11. Statistical climate modeling in R

About the model and the temperature reconstruction

Section 12 Chronology by the DplR in R

To install libraries, detrending, sensitivity and Eps and others metrics in R

section 13. Tree clim dcc

Treeclim package in R: dcc

Section 14. Moving correlation, Skill function and Seasonal correlation

More function by Treeclim: moving correlation, skill & seasonal correlation

Section 15 climatic reconstruction

Climatic reconstruction